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所属单位：机电学院

发表刊物：SYMMETRY-BASEL

关键字：orthogonal initialization mechanism multi-swarm PSO algorithm adaptive cooperation mechanism

摘要：A novel orthogonal multi-swarm cooperative particle swarm optimization (PSO) algorithm with a particle trajectory knowledge base is presented in this paper. Different from the traditional PSO algorithms and other variants of PSO, the proposed orthogonal multi-swarm cooperative PSO algorithm not only introduces an orthogonal initialization mechanism and a particle trajectory knowledge base for multi-dimensional optimization problems, but also conceives a new adaptive cooperation mechanism to accomplish the information interaction among swarms and particles. Experiments are conducted on a set of benchmark functions, and the results show its better performance compared with traditional PSO algorithm in aspects of convergence, computational efficiency and avoiding premature convergence.

ISSN号：2073-8994

是否译文：否

发表时间：2017-01-01

合写作者：杨俊,Wang, Yingcong

通讯作者：朱海华